• Advanced Manufacturing

How machine learning will revolutionize manufacturing

  • Machine Learning
Let’s think for a moment about the high volume of data generated by companies. Data about customers, suppliers, productivity, human resources... Information that, in many cases, is not integrated into all business departments so there is no overall vision or, what is worse, it is not even digitized. Both weaknesses stall decision making and/or can lead to wrong decisions. And in this new digital ecosystem, data is the raw material of Industry 4.0.

Smart Nesting, when the tool and the engineer go hand in hand

  • Nesting
Material waste and a lack of agility in nesting or the nesting of parts are two of the most common problems faced by metal processing companies which slow down the company’s response time for its clients and make the process more expensive. This is due to them not using the appropriate technology in order to fully exploit each piece of sheet metal during the cutting process and/or the fact that this process is completed manually or using slower solutions. Equally, the work of the production engineer mustn’t be knocked as they are experts in the optimization of nesting and machining; the maximization of the margin for each production order received depends on their intervention.
Data Analytics

Data Analytics and how to make the best decisions for your plant

  • Digital Transformation
Data on operations, processes, logistics, personal data, financial data... Data, data and more data. Too much data. So much data, in terms of quantity and variety, that it can be overwhelming. What is the best way to collect and organize them so that they make sense? To know what to do with them, so that they boost the productivity and efficiency of the plant?